Optimal Unknown Pollution Source Characterization in a Contaminated Groundwater Aquifer—Evaluation of a Developed Dedicated Software Tool
Optimal Unknown Pollution Source Characterization in a Contaminated Groundwater Aquifer—Evaluation of a Developed Dedicated Software Tool作者机构：Discipline of Civil and Environmental Engineering School of Engineering and Physical Sciences James Cook University Townsville QLD 4811 AUSTRALIA & CRC for Contamination Assessment and Remediation of the Environment Mawson Lakes SA 5095 Australia école Nationale Supérieure d’Ingénieurs de Limoges (ENSIL) Université de Limoges 87068 Limoges France
出 版 物：《Journal of Geoscience and Environment Protection》 (地球科学和环境保护期刊（英文）)
年 卷 期：2014年第2卷第5期
页 面：41-51页
学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
主 题：Groundwater Contamination Source Characterization Linked Simulation-Optimization
摘 要：Precise identification of the pollutant source characteristics is the first step for designing an effective groundwater contamination remediation strategy. In this study a linked simulation-optimization based methodology is utilized for identification of unknown groundwater pollution sources in a real life contaminated aquifer in New South Wales, Australia where the source locations and source flux release history are the explicit unknown variables. The methodology is applied utilizing an in house software package GWSID developed at James Cook University for optimal determination of the unknown source characteristics. The methodology incorporates linked simulation optimization approach and utilizes simulated Algorithm as an evolutionary optimization algorithm. The performance evaluation results show practical utility of the methodology and of the associated developed computers software in identifying the unknown source characteristics.
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